[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"branding":3,"analytics":7,"article-ai-still-struggles-to-transcribe-noisy-police-radio-chatter":10,"sections":35},{"siteName":4,"siteTagline":5,"publisherName":4,"contactEmail":6},"The Revision","Tech news, decoded.","editor@therevision.news",{"gaMeasurementId":8,"adsenseClientId":9},"G-ZW2MV82GYR","ca-pub-8533917693782264",{"article":11},{"id":12,"slug":13,"title":14,"dek":15,"body_md":16,"tags_json":17,"published_at":18,"created_at":19,"updated_at":20,"status":21,"review_note":22,"review_notes":23,"image_url":22,"persona_id":22,"persona_name":22,"section":24,"tags":25,"sources":30,"feedback":34,"feedback_at":22,"cost_usd":34,"total_tokens":34},8178,"ai-still-struggles-to-transcribe-noisy-police-radio-chatter","AI Still Struggles to Transcribe Noisy Police Radio Chatter","A new study shows LLM-based filtering improves AI transcripts of noisy police radio, but accuracy still lags far behind human-quality benchmarks.","Speech-recognition AI still can't reliably parse crackly, overlapping police radio traffic - even when researchers let it train on its own guesses.\n\nA new arXiv paper tests whether \"pseudo-labeling\" can help general-purpose speech-recognition systems, Whisper and Qwen3-ASR, handle Broadcast Police Communication audio from Baltimore and Chicago. Since human-transcribed police audio is scarce and expensive, the researchers had the models generate their own transcripts, then used those noisy guesses to retrain the systems. The usual quality check - the model's internal confidence scores - couldn't distinguish good transcripts from garbage in this domain. The team's fix was to add a separate large language model as a judge, screening out transcripts that don't make contextual sense, and to try training two different models on each other's outputs.\n\nThis matters beyond audio-engineering trivia: police radio transcripts are a growing input for research and oversight into how officers make decisions in the field, and unreliable automated transcription could distort that record before a human ever reviews it. The LLM-judge filter did cut errors more aggressively than the built-in confidence scores, which is a real gain. But the researchers found a persistent gap between their best filtered results and what a hand-checked \"oracle\" filter would produce.\n\nIn other words: self-training got the models closer, not close enough. Anyone using off-the-shelf transcription on messy real-world audio, not just police radio, should still budget for a human in the loop.","[\"speech recognition\",\"police audio\",\"llm-as-a-judge\",\"ai research\"]","2026-09-28T04:00:00.000Z","2026-09-28T12:54:59.931Z","2026-09-28T12:55:07.216Z","published",null,[],"ai",[26,27,28,29],"speech recognition","police audio","llm-as-a-judge","ai research",[31],{"name":32,"url":33},"arXiv cs.AI","https:\u002F\u002Farxiv.org\u002Fabs\u002F2609.30469",0,{"sections":36},[37,40,44,49,54,59,63,68,73,78,83,88,92,97],{"name":38,"slug":24,"count":39,"latest_published_at":18},"AI",4799,{"name":41,"slug":42,"count":43,"latest_published_at":18},"Security","security",762,{"name":45,"slug":46,"count":47,"latest_published_at":48},"Policy","policy",399,"2026-09-27T18:39:02.000Z",{"name":50,"slug":51,"count":52,"latest_published_at":53},"Deals","deals",261,"2026-09-27T15:30:35.000Z",{"name":55,"slug":56,"count":57,"latest_published_at":58},"Hardware","hardware",188,"2026-09-27T20:46:36.000Z",{"name":60,"slug":61,"count":62,"latest_published_at":18},"Science","science",151,{"name":64,"slug":65,"count":66,"latest_published_at":67},"Consumer Tech","consumer-tech",135,"2026-09-26T14:30:00.000Z",{"name":69,"slug":70,"count":71,"latest_published_at":72},"Software","software",91,"2026-09-25T20:55:00.000Z",{"name":74,"slug":75,"count":76,"latest_published_at":77},"Dev Tools","dev-tools",84,"2026-09-26T04:20:58.000Z",{"name":79,"slug":80,"count":81,"latest_published_at":82},"Startups","startups",76,"2026-09-25T18:33:59.000Z",{"name":84,"slug":85,"count":86,"latest_published_at":87},"Gaming","gaming",48,"2026-09-25T18:35:21.000Z",{"name":89,"slug":90,"count":86,"latest_published_at":91},"General","general","2026-09-26T17:02:42.000Z",{"name":93,"slug":94,"count":95,"latest_published_at":96},"Reviews","reviews",30,"2026-09-24T20:07:31.000Z",{"name":98,"slug":99,"count":100,"latest_published_at":101},"How-To","how-to",6,"2026-06-16T09:00:00.000Z"]